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About

Sneh Acharya is a robotics researcher whose work sits at the intersection of human-robot interaction, assistive technology, and autonomous navigation. Their primary contributions lie in developing safer and more accessible robotic systems, with a particular focus on shared control and human-centered design. Acharya’s most cited work introduces a teleoperation framework that leverages Control Barrier Functions (CBFs) within a Virtual Reality environment, acting as a safety filter to prevent human operators from executing dangerous maneuvers—a critical step toward trustworthy human-robot collaboration. In parallel, they have advanced mobile robot autonomy by developing a method for indoor traversability estimation that fine-tunes a pre-trained Vision Transformer, reducing the need for large labeled datasets. Demonstrating a strong commitment to inclusive technology, Acharya has designed a hand-gesture-based human-robot interaction system for individuals with vocal and hearing impairments, and an assistive robotic system that uses physiological sensors (ECG, EEG, EDA) to assess cognitive states in people with spinal cord injuries. With over 12 citations across their early-career publications, Acharya is establishing a clear trajectory toward safer, more capable, and socially impactful robotic systems.